Analog Circuit Simulators for Integrated Circuit Designers Numerical Recipes in Python

Learn how analog circuit simulators work with these easy to use numerical recipes implemented in the popular Python programming environment. This book covers the fundamental aspects of common simulation analysis techniques and algorithms used in professional simulators today in a pedagogical way through simple examples. The book covers not just linear analyses but also nonlinear ones like steady state simulations. It is rich with examples and exercises and many figures to help illustrate the points. For the interested reader, the fundamental mathematical theorems governing the simulation implementations are covered in the appendices.  

Demonstrates circuit simulation algorithms through actual working code, enabling readers to build an intuitive understanding of what are the strengths and weaknesses with various methods

Provides details of all common, modern circuit simulation methods in one source

Provides Python code for simulations via download

Includes transistor numerical modeling techniques, based on simplified transistor physics

Provides detailed mathematics and ample references in appendices

Introduction.- Overview of Numerical Methods.- Modeling techniques.- Circuit Simulation – Linear Case.- Circuit Simulation – Nonlinear Case.- Epilogue - Simulators in Practice.

Mikael Sahrling is a Principal Electronics Engineer working on developing high speed electrical interfaces for the Test & Measurement and communication industries. He has about 25 years of experience developing integrated circuits and many of the projects he has been a part of has brought in many millions of dollars in revenue. He has worked for many of the leading analog chip companies like Semtech Corporation, Maxim Integrated, Tektronix Inc. and IPG Photonics where he is the lead Analog Design Engineer. His special interest is in high speed active and passive design with a bandwidth of several tens of GigaHertz.